| name | speckit-specify |
| description | Create or update the feature specification from a natural language feature description. |
| argument-hint | Describe the feature you want to specify |
| compatibility | Requires spec-kit project structure with .specify/ directory |
| metadata | {"author":"github-spec-kit","source":"templates/commands/specify.md"} |
| user-invocable | true |
| disable-model-invocation | false |
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Pre-Execution Checks
Check for extension hooks (before specification):
-
Check if .specify/extensions.yml exists in the project root.
-
If it exists, read it and look for entries under the hooks.before_specify key
-
If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
-
Filter out hooks where enabled is explicitly false. Treat hooks without an enabled field as enabled by default.
-
For each remaining hook, do not attempt to interpret or evaluate hook condition expressions:
- If the hook has no
condition field, or it is null/empty, treat the hook as executable
- If the hook defines a non-empty
condition, skip the hook and leave condition evaluation to the HookExecutor implementation
-
When constructing slash commands from hook command names, replace dots (.) with hyphens (-). For example, speckit.git.commit → /speckit-git-commit.
-
For each executable hook, output the following based on its optional flag:
-
Optional hook (optional: true):
## Extension Hooks
**Optional Pre-Hook**: {extension}
Command: `/{command}`
Description: {description}
Prompt: {prompt}
To execute: `/{command}`
-
Mandatory hook (optional: false):
## Extension Hooks
**Automatic Pre-Hook**: {extension}
Executing: `/{command}`
EXECUTE_COMMAND: {command}
Wait for the result of the hook command before proceeding to the Outline.
-
If no hooks are registered or .specify/extensions.yml does not exist, skip silently
Outline
The text the user typed after /speckit-specify in the triggering message is the feature description. Assume you always have it available in this conversation even if $ARGUMENTS appears literally below. Do not ask the user to repeat it unless they provided an empty command.
Given that feature description, do this:
-
Generate a concise short name (2-4 words) for the feature:
- Analyze the feature description and extract the most meaningful keywords
- Create a 2-4 word short name that captures the essence of the feature
- Use action-noun format when possible (e.g., "add-user-auth", "fix-payment-bug")
- Preserve technical terms and acronyms (OAuth2, API, JWT, etc.)
- Keep it concise but descriptive enough to understand the feature at a glance
- Examples:
- "I want to add user authentication" → "user-auth"
- "Implement OAuth2 integration for the API" → "oauth2-api-integration"
- "Create a dashboard for analytics" → "analytics-dashboard"
- "Fix payment processing timeout bug" → "fix-payment-timeout"
-
Branch creation (optional, via hook):
If a before_specify hook ran successfully in the Pre-Execution Checks above, it will have created/switched to a git branch and output JSON containing BRANCH_NAME and FEATURE_NUM. Note these values for reference, but the branch name does not dictate the spec directory name.
If the user explicitly provided GIT_BRANCH_NAME, pass it through to the hook so the branch script uses the exact value as the branch name (bypassing all prefix/suffix generation).
-
Create the spec feature directory:
Specs live under the default specs/ directory unless the user explicitly provides SPECIFY_FEATURE_DIRECTORY.
Resolution order for SPECIFY_FEATURE_DIRECTORY:
- If the user explicitly provided
SPECIFY_FEATURE_DIRECTORY (e.g., via environment variable, argument, or configuration), use it as-is
- Otherwise, auto-generate it under
specs/:
- Check
.specify/init-options.json for branch_numbering
- If
"timestamp": prefix is YYYYMMDD-HHMMSS (current timestamp)
- If
"sequential" or absent: prefix is NNN (next available 3-digit number after scanning existing directories in specs/)
- Construct the directory name:
<prefix>-<short-name> (e.g., 003-user-auth or 20260319-143022-user-auth)
- Set
SPECIFY_FEATURE_DIRECTORY to specs/<directory-name>
Create the directory and spec file:
IMPORTANT:
- You must only create one feature per
/speckit-specify invocation
- The spec directory name and the git branch name are independent — they may be the same but that is the user's choice
- The spec directory and file are always created by this command, never by the hook
-
Load .specify/templates/spec-template.md to understand required sections.
-
Follow this execution flow:
- Parse user description from arguments
If empty: ERROR "No feature description provided"
- Extract key concepts from description
Identify: actors, actions, data, constraints
- For unclear aspects:
- Make informed guesses based on context and industry standards
- Only mark with [NEEDS CLARIFICATION: specific question] if:
- The choice significantly impacts feature scope or user experience
- Multiple reasonable interpretations exist with different implications
- No reasonable default exists
- LIMIT: Maximum 3 [NEEDS CLARIFICATION] markers total
- Prioritize clarifications by impact: scope > security/privacy > user experience > technical details
- Fill User Scenarios & Testing section
If no clear user flow: ERROR "Cannot determine user scenarios"
- Generate Functional Requirements
Each requirement must be testable
Use reasonable defaults for unspecified details (document assumptions in Assumptions section)
- Define Success Criteria
Create measurable, technology-agnostic outcomes
Include both quantitative metrics (time, performance, volume) and qualitative measures (user satisfaction, task completion)
Each criterion must be verifiable without implementation details
- Identify Key Entities (if data involved)
- Return: SUCCESS (spec ready for planning)
-
Write the specification to SPEC_FILE using the template structure, replacing placeholders with concrete details derived from the feature description (arguments) while preserving section order and headings.
-
Specification Quality Validation: After writing the initial spec, validate it against quality criteria:
a. Create Spec Quality Checklist: Generate a checklist file at SPECIFY_FEATURE_DIRECTORY/checklists/requirements.md using the checklist template structure with these validation items:
# Specification Quality Checklist: [FEATURE NAME]
**Purpose**: Validate specification completeness and quality before proceeding to planning
**Created**: [DATE]
**Feature**: [Link to spec.md]
## Content Quality
- [ ] No implementation details (languages, frameworks, APIs)
- [ ] Focused on user value and business needs
- [ ] Written for non-technical stakeholders
- [ ] All mandatory sections completed
## Requirement Completeness
- [ ] No [NEEDS CLARIFICATION] markers remain
- [ ] Requirements are testable and unambiguous
- [ ] Success criteria are measurable
- [ ] Success criteria are technology-agnostic (no implementation details)
- [ ] All acceptance scenarios are defined
- [ ] Edge cases are identified
- [ ] Scope is clearly bounded
- [ ] Dependencies and assumptions identified
## Feature Readiness
- [ ] All functional requirements have clear acceptance criteria
- [ ] User scenarios cover primary flows
- [ ] Feature meets measurable outcomes defined in Success Criteria
- [ ] No implementation details leak into specification
## Notes
- Items marked incomplete require spec updates before `/speckit-clarify` or `/speckit-plan`
b. Run Validation Check: Review the spec against each checklist item:
- For each item, determine if it passes or fails
- Document specific issues found (quote relevant spec sections)
c. Handle Validation Results:
-
If all items pass: Mark checklist complete and proceed to the Mandatory Post-Execution Hooks section
-
If items fail (excluding [NEEDS CLARIFICATION]):
- List the failing items and specific issues
- Update the spec to address each issue
- Re-run validation until all items pass (max 3 iterations)
- If still failing after 3 iterations, document remaining issues in checklist notes and warn user
-
If [NEEDS CLARIFICATION] markers remain:
-
Extract all [NEEDS CLARIFICATION: ...] markers from the spec
-
LIMIT CHECK: If more than 3 markers exist, keep only the 3 most critical (by scope/security/UX impact) and make informed guesses for the rest
-
For each clarification needed (max 3), present options to user in this format:
## Question [N]: [Topic]
**Context**: [Quote relevant spec section]
**What we need to know**: [Specific question from NEEDS CLARIFICATION marker]
**Suggested Answers**:
| Option | Answer | Implications |
| ------ | ------------------------- | ------------------------------------- |
| A | [First suggested answer] | [What this means for the feature] |
| B | [Second suggested answer] | [What this means for the feature] |
| C | [Third suggested answer] | [What this means for the feature] |
| Custom | Provide your own answer | [Explain how to provide custom input] |
**Your choice**: _[Wait for user response]_
-
CRITICAL - Table Formatting: Ensure markdown tables are properly formatted:
- Use consistent spacing with pipes aligned
- Each cell should have spaces around content:
| Content | not |Content|
- Header separator must have at least 3 dashes:
|--------|
- Test that the table renders correctly in markdown preview
-
Number questions sequentially (Q1, Q2, Q3 - max 3 total)
-
Present all questions together before waiting for responses
-
Wait for user to respond with their choices for all questions (e.g., "Q1: A, Q2: Custom - [details], Q3: B")
-
Update the spec by replacing each [NEEDS CLARIFICATION] marker with the user's selected or provided answer
-
Re-run validation after all clarifications are resolved
d. Update Checklist: After each validation iteration, update the checklist file with current pass/fail status
Mandatory Post-Execution Hooks
You MUST complete this section before reporting completion to the user.
Check if .specify/extensions.yml exists in the project root.
-
If it does not exist, or no hooks are registered under hooks.after_specify, skip to the Completion Report.
-
If it exists, read it and look for entries under the hooks.after_specify key.
-
If the YAML cannot be parsed or is invalid, skip hook checking silently and continue to the Completion Report.
-
Filter out hooks where enabled is explicitly false. Treat hooks without an enabled field as enabled by default.
-
For each remaining hook, do not attempt to interpret or evaluate hook condition expressions:
- If the hook has no
condition field, or it is null/empty, treat the hook as executable
- If the hook defines a non-empty
condition, skip the hook and leave condition evaluation to the HookExecutor implementation
-
When constructing slash commands from hook command names, replace dots (.) with hyphens (-). For example, speckit.git.commit → /speckit-git-commit.
-
For each executable hook, output the following based on its optional flag:
-
Mandatory hook (optional: false) — You MUST emit EXECUTE_COMMAND: for each mandatory hook:
## Extension Hooks
**Automatic Hook**: {extension}
Executing: `/{command}`
EXECUTE_COMMAND: {command}
-
Optional hook (optional: true):
## Extension Hooks
**Optional Hook**: {extension}
Command: `/{command}`
Description: {description}
Prompt: {prompt}
To execute: `/{command}`
Completion Report
Report completion to the user with:
SPECIFY_FEATURE_DIRECTORY — the feature directory path
SPEC_FILE — the spec file path
- Checklist results summary
- Readiness for the next phase (
/speckit-clarify or /speckit-plan)
NOTE: Branch creation is handled by the before_specify hook (git extension). Spec directory and file creation are always handled by this core command.
Quick Guidelines
- Focus on WHAT users need and WHY.
- Avoid HOW to implement (no tech stack, APIs, code structure).
- Written for business stakeholders, not developers.
- DO NOT create any checklists that are embedded in the spec. That will be a separate command.
Section Requirements
- Mandatory sections: Must be completed for every feature
- Optional sections: Include only when relevant to the feature
- When a section doesn't apply, remove it entirely (don't leave as "N/A")
For AI Generation
When creating this spec from a user prompt:
- Make informed guesses: Use context, industry standards, and common patterns to fill gaps
- Document assumptions: Record reasonable defaults in the Assumptions section
- Limit clarifications: Maximum 3 [NEEDS CLARIFICATION] markers - use only for critical decisions that:
- Significantly impact feature scope or user experience
- Have multiple reasonable interpretations with different implications
- Lack any reasonable default
- Prioritize clarifications: scope > security/privacy > user experience > technical details
- Think like a tester: Every vague requirement should fail the "testable and unambiguous" checklist item
- Common areas needing clarification (only if no reasonable default exists):
- Feature scope and boundaries (include/exclude specific use cases)
- User types and permissions (if multiple conflicting interpretations possible)
- Security/compliance requirements (when legally/financially significant)
Examples of reasonable defaults (don't ask about these):
- Data retention: Industry-standard practices for the domain
- Performance targets: Standard web/mobile app expectations unless specified
- Error handling: User-friendly messages with appropriate fallbacks
- Authentication method: Standard session-based or OAuth2 for web apps
- Integration patterns: Use project-appropriate patterns (REST/GraphQL for web services, function calls for libraries, CLI args for tools, etc.)
Success Criteria Guidelines
Success criteria must be:
- Measurable: Include specific metrics (time, percentage, count, rate)
- Technology-agnostic: No mention of frameworks, languages, databases, or tools
- User-focused: Describe outcomes from user/business perspective, not system internals
- Verifiable: Can be tested/validated without knowing implementation details
Good examples:
- "Users can complete checkout in under 3 minutes"
- "System supports 10,000 concurrent users"
- "95% of searches return results in under 1 second"
- "Task completion rate improves by 40%"
Bad examples (implementation-focused):
- "API response time is under 200ms" (too technical, use "Users see results instantly")
- "Database can handle 1000 TPS" (implementation detail, use user-facing metric)
- "React components render efficiently" (framework-specific)
- "Redis cache hit rate above 80%" (technology-specific)
Done When